ELEC 320: ABET Course Objectives and Outcomes

ABET program outcomes that we must meet

Course objectives:

Students finishing this course will understand the basic analysis and design techniques for signals and linear systems. We will study signals and systems in the time domain and the frequency domain using the Fourier and Laplace transforms.

To achieve the objectives for ELEC 320, we work toward the following course outcomes.

Course outcomes:

At the conclusion of ELEC 320, students will be able to

  1. classify systems with respect to continuous- or discrete-time, linear or nonlinear, time-invariant or time-varying, and causal or noncausal.

  2. explain the meaning and significance of the following terms: signal; energy and average power of a signal; linear, time-invariant (LTI) system; zero-input response (ZIR); zero-state response (ZSR); impulse response; convolution; frequency response; orthogonal signals; Fourier series; Fourier transform; amplitude and phase spectra of a signal; the special functions "rect" and "sinc"; amplitude modulation (AM); frequency-selective filters (lowpass, bandpass, bandstop, highpass); "order" of a filter; Bode plot; -3 dB cutoff frequency; the sampling theorem; Laplace transform; s-plane; transfer function; poles and zeros.

  3. perform the continuous-time convolution operation on two signals.

  4. determine the impulse response of a LTI system using analysis and experimental measurements.

  5. compute the ZSR of a LTI system using convolution, based on the impulse response of the system.

  6. determine the frequency response of a circuit using analysis and experimental measurements, and display the results on a Bode plot.

  7. design first-order, active, analog filters (lowpass, bandpass, and highpass) that meet specifications on passband gain and cutoff frequency; then implement the circuits and measure the frequency response.

  8. derive an optimum approximation to a signal that minimizes the energy of the error.

  9. use the Fourier series to analyze the frequency spectrum of periodic signals.

  10. use the Fourier transform to analyze the frequency spectrum of aperiodic signals, employing tables of Fourier transform pairs and properties.

  11. use the fast Fourier transform (FFT) in Matlab and on the oscilloscope to analyze the frequency spectrum of experimentally-measured, discrete-time (sampled) signals.

  12. apply the Fourier transform to compute the ZSR of a LTI system, based on the frequency response of the system.

  13. apply the Fourier transform to analyze amplitude modulation (AM) in the frequency domain.

  14. use the sampling theorem to analyze sampling in the frequency domain, and explain aliasing, ideal reconstruction with sinc functions, and zero-order hold (ZOH) reconstruction.

  15. perform analog-to-digital (A/D) conversion and digital-to-analog (D/A) conversion in the laboratory using the Keithley boards on the PCs.

  16. apply the Laplace transform to compute the ZIR and ZSR of a LTI system.

  17. analyze analog filters in the s-domain using the Laplace transform, based on the locations of the poles and zeros of the transfer function.

  18. use Matlab as a tool for analysis and design of signals and systems.

  19. complete a design project on a topic chosen by the student in the general area of signals and systems, culminating with an oral presentation and a written report.